In this episode of the Peak Experience Podcast, hosts Robert and Dr. Latoya Skinner delve into the intricacies of data analysis within doctoral research. They discuss key considerations for selecting appropriate data analysis methods, ensuring validity and reliability, and common pitfalls faced by researchers. The conversation also covers the differences between qualitative and quantitative data, the data interpretation process, and the importance of identifying themes. Additionally, they share insights on handling unexpected results and the tools used for data analysis.
Takeaways
- Assess what you want from the raw data for decision making.
- You are the only one conducting your research project.
- Ensure unbiased responses to gather accurate data.
- Consistency is key in ensuring reliability.
- You are not a participant; keep your opinions to yourself.
- Data interpretation involves analyzing and making sense of collected data.
- Qualitative data focuses on quality, while quantitative data focuses on numbers.
- Charts and graphs should tell a story with the data.
- Handling unexpected results is part of the research process.
- You are supported as you approach the finish line of your research.
Titles
- Mastering Data Analysis in Doctoral Research
- Navigating the Challenges of Data Interpretation
Sound Bites
- “You want to ensure unbiased responses.”
- “You are not a participant in your research.”
- “You are one step closer to the finish line.”